5 citations · 8 across the 8 of their papers we have counts for
8 papers
A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines
Yujin Cho, Sira Ferradans, Jean-Michel Morel +2
Evaluating camera image signal processing (ISP) pipelines requires measuring low-level artifacts introduced by operations such as denoising, demosaicing, tone mapping, and compress…
ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest
Kangning Cui, Surendra Bohara, Suraj Prasai +12
Illegal gold mining in the Amazon rainforest causes deforestation, water contamination, and long-term ecosystem disruption, yet remains difficult to monitor at fine spatial scales.…
Remote Sensing Change Detection via Weak Temporal Supervision
Xavier Bou, Elliot Vincent, Gabriele Facciolo +3
Semantic change detection in remote sensing aims to identify land cover changes between bi-temporal image pairs. Progress in this area has been limited by the scarcity of annotated…
Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates
Natalia Bottaioli, Solène Tarride, Jérémy Anger +8
This study evaluates the recently proposed Document Attention Network (DAN) for extracting key-value information from Uruguayan birth certificates, handwritten in Spanish. We inves…
Structure Tensor Representation for Robust Oriented Object Detection
Xavier Bou, Gabriele Facciolo, Rafael Grompone von Gioi +2
Oriented object detection predicts orientation in addition to object location and bounding box. Precisely predicting orientation remains challenging due to angular periodicity, whi…
Adapting MIMO video restoration networks to low latency constraints
Valéry Dewil, Zhe Zheng, Arnaud Barral +7
MIMO (multiple input, multiple output) approaches are a recent trend in neural network architectures for video restoration problems, where each network evaluation produces multiple…
How to Best Combine Demosaicing and Denoising?
Yu Guo, Qiyu Jin, Jean-Michel Morel +1
Image demosaicing and denoising play a critical role in the raw imaging pipeline. These processes have often been treated as independent, without considering their interactions. In…
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
Xavier Bou, Gabriele Facciolo, Rafael Grompone von Gioi +2
The goal of this paper is to perform object detection in satellite imagery with only a few examples, thus enabling users to specify any object class with minimal annotation. To thi…